Senior Data Engineer

Lonvec Technologies Private Limited; Hyderabad; On-site; INR 2,500,000 - 6,000,000; Full time

Job summary

Lonvec Technologies Private Limited is hiring a Senior Data Engineer with 8+ years of experience in data engineering and cloud technologies. The candidate should be technically strong in Python, SQL, Apache Spark, ETL/ELT pipelines, and cloud platforms like AWS, Azure, or GCP.

The role involves building scalable data pipelines, data platforms, data models, and end-to-end project delivery. The ideal candidate works well individually and with cross-functional teams, taking ownership from

Qualifications

• 8+ years of data engineering experience or equivalent
• Strong Python/SQL and cloud data platforms
• Experience with ETL/ELT design and optimization
• Experience building scalable data pipelines and data models
• Knowledge of Databricks and Snowflake preferred
• Ability to work independently and in cross-functional teams

Responsibilities

• Implement scalable data pipelines and data workflows
• Design and optimize ETL/ELT processes
• Build cloud-based data platforms and data warehouses
• Develop data models and data warehouse solutions
• Provide technical support for production data platforms
• Manage data engineering projects end-to-end from development to deployment and optimization

Skills

Python

SQL

ETL/ELT pipelines

Apache Spark

Data modeling

Education

Bachelor’s degree in CS/Eng or related field

Tools

Databricks

Snowflake

AWS

Azure

GCP

Apache Spark

Job description

We are hiring a Senior Data Engineer with 8+ years of experience in data engineering and cloud technologies. The ideal candidate should be technically strong in Python, SQL, Apache Spark, ETL/ELT pipelines, cloud platforms such as AWS, Azure, or GCP, and data platforms including Databricks and Snowflake. The role requires an individual contributor who can work individually while collaborating effectively with cross-functional teams. Key responsibilities include the implementation of scalable data pipelines, designing and optimizing ETL/ELT workflows, building cloud-based data platforms, developing data models and data warehouse solutions, providing technical support for production data platforms, and managing data engineering projects end-to-end from development through deployment and optimization.

Requirements

• Data Warehousing